EconPapers    
Economics at your fingertips  
 

A short-term forecasting model for GDP and its demand components

Ana Arencibia Pareja, Ana Gómez Loscos, Mercedes de Luis López and Gabriel Perez Quiros
Authors registered in the RePEc Author Service: Ana Gómez-Loscos ()

Economic Bulletin, 2017, issue DIC, 10 pages

Abstract: This article summarises the key aspects of the extended and revised version of Spain-STING (Spain, Short-Term INdicator of Growth), which is a tool used by the Banco de España for short-term forecasting of the Spanish economy’s GDP and its demand components. Drawing on a broad set of indicators, several models are estimated that enable GDP, private consumption, public expenditure, investment in capital goods, construction investment, exports and imports to be forecast. The assessment of the new model’s predictive power for the period spanning June 2005-September 2016 shows a slight improvement on the previous version of Spain-STING.

Date: 2017
Note: Analytical Articles
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.bde.es/f/webbde/SES/Secciones/Publicaci ... /beaa1704-art30e.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bde:journl:y:2017:i:12:d:aa:n:30

Access Statistics for this article

More articles in Economic Bulletin from Banco de España Contact information at EDIRC.
Bibliographic data for series maintained by María Beiro. Electronic Dissemination of Information Unit. Research Department. Banco de España ().

 
Page updated 2021-10-15
Handle: RePEc:bde:journl:y:2017:i:12:d:aa:n:30